Services Dataset Report

Dataset statistics

Number of variables	28
Number of observations	99991
Missing cells	102585
Missing cells (%)	3.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	97.3 MiB
Average record size in memory	1019.9 B

Variable types

Text	7
Categorical	6
Numeric	15

Alerts

`Annual_Income` is highly overall correlated with `Monthly_Inhand_Salary` and 2 other fields	High correlation
`Monthly_Inhand_Salary` is highly overall correlated with `Annual_Income` and 2 other fields	High correlation
`Num_Bank_Accounts` is highly overall correlated with `Interest_Rate` and 2 other fields	High correlation
`Interest_Rate` is highly overall correlated with `Num_Bank_Accounts` and 4 other fields	High correlation
`NumofLoan` is highly overall correlated with `OutstandingDebt`	High correlation
`Delay_from_due_date` is highly overall correlated with `Num_Bank_Accounts` and 5 other fields	High correlation
`NumofDelayedPayment` is highly overall correlated with `Num_Bank_Accounts` and 2 other fields	High correlation
`NumCreditInquiries` is highly overall correlated with `Interest_Rate` and 2 other fields	High correlation
`OutstandingDebt` is highly overall correlated with `Interest_Rate` and 5 other fields	High correlation
`Amountinvestedmonthly` is highly overall correlated with `Annual_Income` and 1 other fields	High correlation
`MonthlyBalance` is highly overall correlated with `Annual_Income` and 1 other fields	High correlation
`CreditMix` is highly overall correlated with `Delay_from_due_date` and 2 other fields	High correlation
`Payment_of_Min_Amount` is highly overall correlated with `CreditMix`	High correlation
`Credit_Score` is highly overall correlated with `OutstandingDebt`	High correlation
`Name` has 9985 (10.0%) missing values	Missing
`SSN` has 5572 (5.6%) missing values	Missing
`Occupation` has 7061 (7.1%) missing values	Missing
`Monthly_Inhand_Salary` has 15001 (15.0%) missing values	Missing
`Type_of_Loan` has 11408 (11.4%) missing values	Missing
`NumofDelayedPayment` has 7002 (7.0%) missing values	Missing
`ChangedCreditLimit` has 2091 (2.1%) missing values	Missing
`NumCreditInquiries` has 1965 (2.0%) missing values	Missing
`CreditMix` has 20193 (20.2%) missing values	Missing
`Credit_History_Age` has 9029 (9.0%) missing values	Missing
`Amountinvestedmonthly` has 4478 (4.5%) missing values	Missing
`Payment_Behaviour` has 7600 (7.6%) missing values	Missing
`MonthlyBalance` has 1200 (1.2%) missing values	Missing
`Month` is uniformly distributed	Uniform
`ID` has unique values	Unique
`Num_Bank_Accounts` has 4328 (4.3%) zeros	Zeros
`NumofLoan` has 10930 (10.9%) zeros	Zeros
`Delay_from_due_date` has 1195 (1.2%) zeros	Zeros
`NumofDelayedPayment` has 1608 (1.6%) zeros	Zeros
`NumCreditInquiries` has 6972 (7.0%) zeros	Zeros
`TotalEMIpermonth` has 10613 (10.6%) zeros	Zeros

Reproduction

Analysis started	2023-11-20 14:30:38.155975
Analysis finished	2023-11-20 14:31:09.590227
Duration	31.43 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

ID
Text

UNIQUE

Distinct	99991
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	6.8 MiB

Length

Max length	7
Median length	7
Mean length	6.6006541
Min length	6

Characters and Unicode

Total characters	660006
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	99991 ?
Unique (%)	100.0%

Sample

1st row	0x1602
2nd row	0x1603
3rd row	0x1604
4th row	0x1605
5th row	0x1606

Value	Count	Frequency (%)
0x1602	1	< 0.1%
0x164c	1	< 0.1%
0x1606	1	< 0.1%
0x1607	1	< 0.1%
0x1608	1	< 0.1%
0x1609	1	< 0.1%
0x160e	1	< 0.1%
0x160f	1	< 0.1%
0x1610	1	< 0.1%
0x1611	1	< 0.1%
Other values (99981)	99981	> 99.9%

Most occurring characters

Value	Count	Frequency (%)
0	124096	18.8%
x	99991	15.2%
1	69499	10.5%
2	43210	6.5%
4	26837	4.1%
3	26834	4.1%
5	26825	4.1%
a	24279	3.7%
7	24278	3.7%
b	24275	3.7%
Other values (7)	169882	25.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	414395	62.8%
Lowercase Letter	245611	37.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	124096	29.9%
1	69499	16.8%
2	43210	10.4%
4	26837	6.5%
3	26834	6.5%
5	26825	6.5%
7	24278	5.9%
8	24273	5.9%
9	24273	5.9%
6	24270	5.9%

Lowercase Letter

Value	Count	Frequency (%)
x	99991	40.7%
a	24279	9.9%
b	24275	9.9%
d	24275	9.9%
e	24273	9.9%
c	24270	9.9%
f	24248	9.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	414395	62.8%
Latin	245611	37.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	124096	29.9%
1	69499	16.8%
2	43210	10.4%
4	26837	6.5%
3	26834	6.5%
5	26825	6.5%
7	24278	5.9%
8	24273	5.9%
9	24273	5.9%
6	24270	5.9%

Latin

Value	Count	Frequency (%)
x	99991	40.7%
a	24279	9.9%
b	24275	9.9%
d	24275	9.9%
e	24273	9.9%
c	24270	9.9%
f	24248	9.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	660006	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	124096	18.8%
x	99991	15.2%
1	69499	10.5%
2	43210	6.5%
4	26837	4.1%
3	26834	4.1%
5	26825	4.1%
a	24279	3.7%
7	24278	3.7%
b	24275	3.7%
Other values (7)	169882	25.7%

Customer_ID
Text

Distinct	12500
Distinct (%)	12.5%
Missing	0
Missing (%)	0.0%
Memory size	7.1 MiB

Length

Max length	10
Median length	10
Mean length	9.9395146
Min length	9

Characters and Unicode

Total characters	993862
Distinct characters	21
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	CUS_0xd40
2nd row	CUS_0xd40
3rd row	CUS_0xd40
4th row	CUS_0xd40
5th row	CUS_0xd40

Value	Count	Frequency (%)
cus_0xd40	8	< 0.1%
cus_0x4100	8	< 0.1%
cus_0x609d	8	< 0.1%
cus_0x4d43	8	< 0.1%
cus_0xa5f9	8	< 0.1%
cus_0x5b48	8	< 0.1%
cus_0xc0ab	8	< 0.1%
cus_0x2dbc	8	< 0.1%
cus_0xb891	8	< 0.1%
cus_0x1cdb	8	< 0.1%
Other values (12490)	99911	99.9%

Most occurring characters

Value	Count	Frequency (%)
0	118237	11.9%
C	99991	10.1%
S	99991	10.1%
_	99991	10.1%
x	99991	10.1%
U	99991	10.1%
4	27999	2.8%
6	27399	2.8%
5	27196	2.7%
3	27071	2.7%
Other values (11)	266005	26.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	361174	36.3%
Uppercase Letter	299973	30.2%
Lowercase Letter	232724	23.4%
Connector Punctuation	99991	10.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	118237	32.7%
4	27999	7.8%
6	27399	7.6%
5	27196	7.5%
3	27071	7.5%
8	27067	7.5%
7	26772	7.4%
9	26733	7.4%
2	26717	7.4%
1	25983	7.2%

Lowercase Letter

Value	Count	Frequency (%)
x	99991	43.0%
b	26798	11.5%
a	26543	11.4%
c	22271	9.6%
e	19485	8.4%
d	18871	8.1%
f	18765	8.1%

Uppercase Letter

Value	Count	Frequency (%)
C	99991	33.3%
S	99991	33.3%
U	99991	33.3%

Connector Punctuation

Value	Count	Frequency (%)
_	99991	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	532697	53.6%
Common	461165	46.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	118237	25.6%
_	99991	21.7%
4	27999	6.1%
6	27399	5.9%
5	27196	5.9%
3	27071	5.9%
8	27067	5.9%
7	26772	5.8%
9	26733	5.8%
2	26717	5.8%

Latin

Value	Count	Frequency (%)
C	99991	18.8%
S	99991	18.8%
x	99991	18.8%
U	99991	18.8%
b	26798	5.0%
a	26543	5.0%
c	22271	4.2%
e	19485	3.7%
d	18871	3.5%
f	18765	3.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	993862	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	118237	11.9%
C	99991	10.1%
S	99991	10.1%
_	99991	10.1%
x	99991	10.1%
U	99991	10.1%
4	27999	2.8%
6	27399	2.8%
5	27196	2.7%
3	27071	2.7%
Other values (11)	266005	26.8%

Month
Categorical

UNIFORM

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.7 MiB

January	12500
May	12500
June	12500
March	12499
April	12499
Other values (3)	37493

Length

Max length	8
Median length	6
Mean length	5.2499525
Min length	3

Characters and Unicode

Total characters	524948
Distinct characters	19
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	January
2nd row	February
3rd row	March
4th row	April
5th row	May

Common Values

Value	Count	Frequency (%)
January	12500	12.5%
May	12500	12.5%
June	12500	12.5%
March	12499	12.5%
April	12499	12.5%
August	12499	12.5%
February	12497	12.5%
July	12497	12.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
january	12500	12.5%
may	12500	12.5%
june	12500	12.5%
march	12499	12.5%
april	12499	12.5%
august	12499	12.5%
february	12497	12.5%
july	12497	12.5%

Most occurring characters

Value	Count	Frequency (%)
u	74992	14.3%
a	62496	11.9%
r	62492	11.9%
y	49994	9.5%
J	37497	7.1%
n	25000	4.8%
M	24999	4.8%
A	24998	4.8%
e	24997	4.8%
l	24996	4.8%
Other values (9)	112487	21.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	424957	81.0%
Uppercase Letter	99991	19.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	74992	17.6%
a	62496	14.7%
r	62492	14.7%
y	49994	11.8%
n	25000	5.9%
e	24997	5.9%
l	24996	5.9%
t	12499	2.9%
s	12499	2.9%
g	12499	2.9%
Other values (5)	62493	14.7%

Uppercase Letter

Value	Count	Frequency (%)
J	37497	37.5%
M	24999	25.0%
A	24998	25.0%
F	12497	12.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	524948	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
u	74992	14.3%
a	62496	11.9%
r	62492	11.9%
y	49994	9.5%
J	37497	7.1%
n	25000	4.8%
M	24999	4.8%
A	24998	4.8%
e	24997	4.8%
l	24996	4.8%
Other values (9)	112487	21.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	524948	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
u	74992	14.3%
a	62496	11.9%
r	62492	11.9%
y	49994	9.5%
J	37497	7.1%
n	25000	4.8%
M	24999	4.8%
A	24998	4.8%
e	24997	4.8%
l	24996	4.8%
Other values (9)	112487	21.4%

Name
Text

MISSING

Distinct	10139
Distinct (%)	11.3%
Missing	9985
Missing (%)	10.0%
Memory size	6.8 MiB

Length

Max length	25
Median length	20
Mean length	9.7698265
Min length	2

Characters and Unicode

Total characters	879343
Distinct characters	57
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Aaron Maashoh
2nd row	Aaron Maashoh
3rd row	Aaron Maashoh
4th row	Aaron Maashoh
5th row	Aaron Maashoh

Value	Count	Frequency (%)
david	640	0.5%
jonathan	613	0.5%
jessica	505	0.4%
sarah	405	0.3%
karen	378	0.3%
nick	377	0.3%
caroline	372	0.3%
tim	371	0.3%
john	342	0.3%
tom	334	0.3%
Other values (9720)	121328	96.5%

Most occurring characters

Value	Count	Frequency (%)
a	91804	10.4%
e	76032	8.6%
n	59299	6.7%
i	58581	6.7%
r	54508	6.2%
o	44666	5.1%
l	42110	4.8%
	35694	4.1%
t	35055	4.0%
h	30588	3.5%
Other values (47)	351006	39.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	714687	81.3%
Uppercase Letter	125358	14.3%
Space Separator	35694	4.1%
Other Punctuation	2147	0.2%
Dash Punctuation	1457	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	91804	12.8%
e	76032	10.6%
n	59299	8.3%
i	58581	8.2%
r	54508	7.6%
o	44666	6.2%
l	42110	5.9%
t	35055	4.9%
h	30588	4.3%
s	30399	4.3%
Other values (16)	191645	26.8%

Uppercase Letter

Value	Count	Frequency (%)
S	14298	11.4%
A	8732	7.0%
M	8671	6.9%
L	8377	6.7%
J	7972	6.4%
C	7787	6.2%
R	7132	5.7%
D	6998	5.6%
K	6893	5.5%
B	6531	5.2%
Other values (16)	41967	33.5%

Other Punctuation

Value	Count	Frequency (%)
.	1098	51.1%
"	966	45.0%
,	83	3.9%

Space Separator

Value	Count	Frequency (%)
	35694	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1457	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	840045	95.5%
Common	39298	4.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	91804	10.9%
e	76032	9.1%
n	59299	7.1%
i	58581	7.0%
r	54508	6.5%
o	44666	5.3%
l	42110	5.0%
t	35055	4.2%
h	30588	3.6%
s	30399	3.6%
Other values (42)	317003	37.7%

Common

Value	Count	Frequency (%)
	35694	90.8%
-	1457	3.7%
.	1098	2.8%
"	966	2.5%
,	83	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	879343	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	91804	10.4%
e	76032	8.6%
n	59299	6.7%
i	58581	6.7%
r	54508	6.2%
o	44666	5.1%
l	42110	4.8%
	35694	4.1%
t	35055	4.0%
h	30588	3.5%
Other values (47)	351006	39.9%

Age
Text

Distinct	1788
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	6.4 MiB

Length

Max length	5
Median length	2
Mean length	2.1028993
Min length	2

Characters and Unicode

Total characters	210271
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1523 ?
Unique (%)	1.5%

Sample

1st row	23
2nd row	23
3rd row	-500
4th row	23
5th row	23

Value	Count	Frequency (%)
38	2994	3.0%
28	2968	3.0%
31	2954	3.0%
26	2945	2.9%
32	2884	2.9%
36	2868	2.9%
35	2866	2.9%
25	2861	2.9%
27	2859	2.9%
39	2846	2.8%
Other values (1718)	70946	71.0%

Most occurring characters

Value	Count	Frequency (%)
2	38381	18.3%
3	38347	18.2%
4	33427	15.9%
1	21430	10.2%
5	21312	10.1%
0	11669	5.5%
8	10410	5.0%
9	10318	4.9%
6	10069	4.8%
7	9084	4.3%
Other values (2)	5824	2.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	204447	97.2%
Connector Punctuation	4938	2.3%
Dash Punctuation	886	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	38381	18.8%
3	38347	18.8%
4	33427	16.3%
1	21430	10.5%
5	21312	10.4%
0	11669	5.7%
8	10410	5.1%
9	10318	5.0%
6	10069	4.9%
7	9084	4.4%

Connector Punctuation

Value	Count	Frequency (%)
_	4938	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	886	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	210271	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	38381	18.3%
3	38347	18.2%
4	33427	15.9%
1	21430	10.2%
5	21312	10.1%
0	11669	5.5%
8	10410	5.0%
9	10318	4.9%
6	10069	4.8%
7	9084	4.3%
Other values (2)	5824	2.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	210271	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	38381	18.3%
3	38347	18.2%
4	33427	15.9%
1	21430	10.2%
5	21312	10.1%
0	11669	5.5%
8	10410	5.0%
9	10318	4.9%
6	10069	4.8%
7	9084	4.3%
Other values (2)	5824	2.8%

SSN
Text

MISSING

Distinct	12500
Distinct (%)	13.2%
Missing	5572
Missing (%)	5.6%
Memory size	7.1 MiB

Length

Max length	11
Median length	11
Mean length	11
Min length	11

Characters and Unicode

Total characters	1038609
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	821-00-0265
2nd row	821-00-0265
3rd row	821-00-0265
4th row	821-00-0265
5th row	821-00-0265

Value	Count	Frequency (%)
078-73-5990	8	< 0.1%
457-44-5854	8	< 0.1%
063-08-8008	8	< 0.1%
902-94-4726	8	< 0.1%
596-27-5459	8	< 0.1%
782-43-1037	8	< 0.1%
799-70-1935	8	< 0.1%
329-28-6277	8	< 0.1%
718-37-2610	8	< 0.1%
201-91-3081	8	< 0.1%
Other values (12490)	94339	99.9%

Most occurring characters

Value	Count	Frequency (%)
-	188838	18.2%
1	86546	8.3%
8	86026	8.3%
4	85907	8.3%
2	85175	8.2%
7	85109	8.2%
0	84788	8.2%
9	84675	8.2%
5	84648	8.2%
3	83576	8.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	849771	81.8%
Dash Punctuation	188838	18.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	86546	10.2%
8	86026	10.1%
4	85907	10.1%
2	85175	10.0%
7	85109	10.0%
0	84788	10.0%
9	84675	10.0%
5	84648	10.0%
3	83576	9.8%
6	83321	9.8%

Dash Punctuation

Value	Count	Frequency (%)
-	188838	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1038609	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	188838	18.2%
1	86546	8.3%
8	86026	8.3%
4	85907	8.3%
2	85175	8.2%
7	85109	8.2%
0	84788	8.2%
9	84675	8.2%
5	84648	8.2%
3	83576	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1038609	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	188838	18.2%
1	86546	8.3%
8	86026	8.3%
4	85907	8.3%
2	85175	8.2%
7	85109	8.2%
0	84788	8.2%
9	84675	8.2%
5	84648	8.2%
3	83576	8.0%

Occupation
Categorical

MISSING

Distinct	15
Distinct (%)	< 0.1%
Missing	7061
Missing (%)	7.1%
Memory size	6.8 MiB

Lawyer	6574
Architect	6355
Engineer	6349
Scientist	6299
Mechanic	6290
Other values (10)	61063

Length

Max length	13
Median length	10
Mean length	8.5399333
Min length	6

Characters and Unicode

Total characters	793616
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Scientist
2nd row	Scientist
3rd row	Scientist
4th row	Scientist
5th row	Scientist

Common Values

Value	Count	Frequency (%)
Lawyer	6574	6.6%
Architect	6355	6.4%
Engineer	6349	6.3%
Scientist	6299	6.3%
Mechanic	6290	6.3%
Accountant	6271	6.3%
Developer	6234	6.2%
Media_Manager	6232	6.2%
Teacher	6215	6.2%
Entrepreneur	6174	6.2%
Other values (5)	29937	29.9%
(Missing)	7061	7.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
lawyer	6574	7.1%
architect	6355	6.8%
engineer	6349	6.8%
scientist	6299	6.8%
mechanic	6290	6.8%
accountant	6271	6.7%
developer	6234	6.7%
media_manager	6232	6.7%
teacher	6215	6.7%
entrepreneur	6174	6.6%
Other values (5)	29937	32.2%

Most occurring characters

Value	Count	Frequency (%)
e	112192	14.1%
r	86392	10.9%
n	74376	9.4%
a	67986	8.6%
c	62342	7.9%
t	62077	7.8%
i	61614	7.8%
o	30758	3.9%
M	30638	3.9%
u	24439	3.1%
Other values (18)	180802	22.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	688222	86.7%
Uppercase Letter	99162	12.5%
Connector Punctuation	6232	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	112192	16.3%
r	86392	12.6%
n	74376	10.8%
a	67986	9.9%
c	62342	9.1%
t	62077	9.0%
i	61614	9.0%
o	30758	4.5%
u	24439	3.6%
h	18860	2.7%
Other values (8)	87186	12.7%

Uppercase Letter

Value	Count	Frequency (%)
M	30638	30.9%
A	12626	12.7%
E	12523	12.6%
D	12319	12.4%
L	6574	6.6%
S	6299	6.4%
T	6215	6.3%
J	6083	6.1%
W	5885	5.9%

Connector Punctuation

Value	Count	Frequency (%)
_	6232	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	787384	99.2%
Common	6232	0.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	112192	14.2%
r	86392	11.0%
n	74376	9.4%
a	67986	8.6%
c	62342	7.9%
t	62077	7.9%
i	61614	7.8%
o	30758	3.9%
M	30638	3.9%
u	24439	3.1%
Other values (17)	174570	22.2%

Common

Value	Count	Frequency (%)
_	6232	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	793616	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	112192	14.1%
r	86392	10.9%
n	74376	9.4%
a	67986	8.6%
c	62342	7.9%
t	62077	7.8%
i	61614	7.8%
o	30758	3.9%
M	30638	3.9%
u	24439	3.1%
Other values (18)	180802	22.8%

Annual_Income
Real number (ℝ)

HIGH CORRELATION

Distinct	13487
Distinct (%)	13.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	176426.79

Minimum	7005.93
Maximum	24198062
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	7005.93
5-th percentile	9743.51
Q1	19456.495
median	37578.61
Q3	72790.92
95-th percentile	134533.32
Maximum	24198062
Range	24191056
Interquartile range (IQR)	53334.425

Descriptive statistics

Standard deviation	1429681.9
Coefficient of variation (CV)	8.1035419
Kurtosis	164.37363
Mean	176426.79
Median Absolute Deviation (MAD)	21450.215
Skewness	12.5116
Sum	1.7641091 × 10¹⁰
Variance	2.0439903 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9141.63	16	< 0.1%
22434.16	16	< 0.1%
17273.83	16	< 0.1%
109945.32	16	< 0.1%
32543.38	16	< 0.1%
17816.75	16	< 0.1%
20867.67	16	< 0.1%
36585.12	16	< 0.1%
40341.16	16	< 0.1%
95596.35	15	< 0.1%
Other values (13477)	99832	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
7005.93	8	< 0.1%
7006.035	8	< 0.1%
7006.52	8	< 0.1%
7011.685	8	< 0.1%
7012.31	8	< 0.1%
7019.435	8	< 0.1%
7020.545	8	< 0.1%
7021.91	8	< 0.1%
7023.16	8	< 0.1%
7039.745	8	< 0.1%

Value	Count	Frequency (%)
24198062	1	< 0.1%
24188807	1	< 0.1%
24177153	1	< 0.1%
24160009	1	< 0.1%
24105369	1	< 0.1%
24105151	1	< 0.1%
24096975	1	< 0.1%
24065688	1	< 0.1%
24008957	1	< 0.1%
23942655	1	< 0.1%

Monthly_Inhand_Salary
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	13235
Distinct (%)	15.6%
Missing	15001
Missing (%)	15.0%
Infinite	0
Infinite (%)	0.0%
Mean	4194.1502

Minimum	303.64542
Maximum	15204.633
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	303.64542
5-th percentile	836.12583
Q1	1625.5583
median	3093.745
Q3	5957.4483
95-th percentile	10829.284
Maximum	15204.633
Range	14900.988
Interquartile range (IQR)	4331.89

Descriptive statistics

Standard deviation	3183.6987
Coefficient of variation (CV)	0.75908076
Kurtosis	0.61318177
Mean	4194.1502
Median Absolute Deviation (MAD)	1754.0842
Skewness	1.1272859
Sum	3.5646083 × 10⁸
Variance	10135938
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6769.13	15	< 0.1%
6082.1875	15	< 0.1%
2295.058333	15	< 0.1%
6358.956667	15	< 0.1%
3080.555	14	< 0.1%
6639.56	13	< 0.1%
5766.491667	13	< 0.1%
4387.2725	13	< 0.1%
536.43125	12	< 0.1%
1315.560833	11	< 0.1%
Other values (13225)	84854	84.9%
(Missing)	15001	15.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
303.6454167	8	< 0.1%
319.55625	7	< 0.1%
332.1283333	7	< 0.1%
332.43125	6	< 0.1%
333.5966667	6	< 0.1%
355.2083333	8	< 0.1%
357.2558333	7	< 0.1%
358.0583333	6	< 0.1%
361.6033333	6	< 0.1%
368.3741667	7	< 0.1%

Value	Count	Frequency (%)
15204.63333	7	< 0.1%
15167.18	8	< 0.1%
15136.69667	7	< 0.1%
15115.19	7	< 0.1%
15101.94	8	< 0.1%
15091.08667	5	< 0.1%
15090.07667	7	< 0.1%
15066.78333	7	< 0.1%
15038.31667	5	< 0.1%
14978.33667	7	< 0.1%

Num_Bank_Accounts
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	943
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.092458

Minimum	-1
Maximum	1798
Zeros	4328
Zeros (%)	4.3%
Negative	21
Negative (%)	< 0.1%
Memory size	1.5 MiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	3
median	6
Q3	7
95-th percentile	10
Maximum	1798
Range	1799
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	117.41005
Coefficient of variation (CV)	6.8691143
Kurtosis	132.49766
Mean	17.092458
Median Absolute Deviation (MAD)	2
Skewness	11.201968
Sum	1709092
Variance	13785.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6	13001	13.0%
7	12823	12.8%
8	12765	12.8%
4	12184	12.2%
5	12117	12.1%
3	11946	11.9%
9	5443	5.4%
10	5246	5.2%
1	4489	4.5%
0	4328	4.3%
Other values (933)	5649	5.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	21	< 0.1%
0	4328	4.3%
1	4489	4.5%
2	4304	4.3%
3	11946	11.9%
4	12184	12.2%
5	12117	12.1%
6	13001	13.0%
7	12823	12.8%
8	12765	12.8%

Value	Count	Frequency (%)
1798	2	< 0.1%
1794	2	< 0.1%
1793	1	< 0.1%
1789	2	< 0.1%
1786	1	< 0.1%
1784	2	< 0.1%
1783	1	< 0.1%
1782	1	< 0.1%
1779	2	< 0.1%
1778	1	< 0.1%

Num_Credit_Card
Real number (ℝ)

Distinct	1179
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	22.475983

Minimum	0
Maximum	1499
Zeros	13
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	4
median	5
Q3	7
95-th percentile	10
Maximum	1499
Range	1499
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	129.06311
Coefficient of variation (CV)	5.7422678
Kurtosis	74.537319
Mean	22.475983
Median Absolute Deviation (MAD)	2
Skewness	8.4576208
Sum	2247396
Variance	16657.287
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5	18458	18.5%
7	16614	16.6%
6	16558	16.6%
4	14026	14.0%
3	13276	13.3%
8	4956	5.0%
10	4859	4.9%
9	4643	4.6%
2	2149	2.1%
1	2132	2.1%
Other values (1169)	2320	2.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	< 0.1%
1	2132	2.1%
2	2149	2.1%
3	13276	13.3%
4	14026	14.0%
5	18458	18.5%
6	16558	16.6%
7	16614	16.6%
8	4956	5.0%
9	4643	4.6%

Value	Count	Frequency (%)
1499	2	< 0.1%
1498	3	< 0.1%
1497	3	< 0.1%
1496	2	< 0.1%
1495	1	< 0.1%
1494	1	< 0.1%
1493	2	< 0.1%
1492	2	< 0.1%
1490	2	< 0.1%
1489	1	< 0.1%

Interest_Rate
Real number (ℝ)

HIGH CORRELATION

Distinct	1750
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	72.471562

Minimum	1
Maximum	5797
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	13
Q3	20
95-th percentile	33
Maximum	5797
Range	5796
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	466.44324
Coefficient of variation (CV)	6.4362245
Kurtosis	85.17439
Mean	72.471562
Median Absolute Deviation (MAD)	6
Skewness	9.0055958
Sum	7246504
Variance	217569.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8	5011	5.0%
5	4979	5.0%
6	4719	4.7%
10	4540	4.5%
12	4538	4.5%
7	4494	4.5%
9	4493	4.5%
11	4428	4.4%
18	4102	4.1%
15	3992	4.0%
Other values (1740)	54695	54.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	2683	2.7%
2	2465	2.5%
3	2764	2.8%
4	2589	2.6%
5	4979	5.0%
6	4719	4.7%
7	4494	4.5%
8	5011	5.0%
9	4493	4.5%
10	4540	4.5%

Value	Count	Frequency (%)
5797	1	< 0.1%
5789	1	< 0.1%
5788	1	< 0.1%
5776	1	< 0.1%
5775	1	< 0.1%
5774	1	< 0.1%
5773	1	< 0.1%
5771	1	< 0.1%
5770	1	< 0.1%
5763	1	< 0.1%

NumofLoan
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	414
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.0099409

Minimum	-100
Maximum	1496
Zeros	10930
Zeros (%)	10.9%
Negative	3876
Negative (%)	3.9%
Memory size	1.5 MiB

Quantile statistics

Minimum	-100
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	8
Maximum	1496
Range	1596
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	62.650694
Coefficient of variation (CV)	20.814593
Kurtosis	308.19121
Mean	3.0099409
Median Absolute Deviation (MAD)	2
Skewness	15.979335
Sum	300967
Variance	3925.1094
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	15103	15.1%
2	15028	15.0%
4	14743	14.7%
0	10930	10.9%
1	10604	10.6%
6	7803	7.8%
7	7343	7.3%
5	7197	7.2%
-100	3876	3.9%
9	3701	3.7%
Other values (404)	3663	3.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-100	3876	3.9%
0	10930	10.9%
1	10604	10.6%
2	15028	15.0%
3	15103	15.1%
4	14743	14.7%
5	7197	7.2%
6	7803	7.8%
7	7343	7.3%
8	3191	3.2%

Value	Count	Frequency (%)
1496	1	< 0.1%
1495	1	< 0.1%
1485	1	< 0.1%
1484	1	< 0.1%
1482	1	< 0.1%
1480	3	< 0.1%
1478	1	< 0.1%
1474	1	< 0.1%
1470	1	< 0.1%
1465	1	< 0.1%

Type_of_Loan
Text

MISSING

Distinct	6260
Distinct (%)	7.1%
Missing	11408
Missing (%)	11.4%
Memory size	11.6 MiB

Length

Max length	182
Median length	142
Mean length	66.685064
Min length	9

Characters and Unicode

Total characters	5907163
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
2nd row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
3rd row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
4th row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan
5th row	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan

Value	Count	Frequency (%)
loan	313645	36.4%
and	77457	9.0%
payday	40566	4.7%
credit-builder	40437	4.7%
not	39614	4.6%
specified	39614	4.6%
home	39098	4.5%
equity	39098	4.5%
student	38962	4.5%
mortgage	38931	4.5%
Other values (4)	154426	17.9%

Most occurring characters

Value	Count	Frequency (%)
	773265	13.1%
o	624489	10.6%
a	588827	10.0%
n	546501	9.3%
e	354755	6.0%
t	351543	6.0%
d	316248	5.4%
L	313645	5.3%
i	276750	4.7%
,	264676	4.5%
Other values (23)	1496464	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4003957	67.8%
Uppercase Letter	824828	14.0%
Space Separator	773265	13.1%
Other Punctuation	264676	4.5%
Dash Punctuation	40437	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	624489	15.6%
a	588827	14.7%
n	546501	13.6%
e	354755	8.9%
t	351543	8.8%
d	316248	7.9%
i	276750	6.9%
r	158692	4.0%
u	156486	3.9%
y	120230	3.0%
Other values (9)	509436	12.7%

Uppercase Letter

Value	Count	Frequency (%)
L	313645	38.0%
P	79453	9.6%
C	79212	9.6%
S	78576	9.5%
B	40437	4.9%
N	39614	4.8%
H	39098	4.7%
E	39098	4.7%
M	38931	4.7%
D	38775	4.7%

Space Separator

Value	Count	Frequency (%)
	773265	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	264676	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	40437	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4828785	81.7%
Common	1078378	18.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	624489	12.9%
a	588827	12.2%
n	546501	11.3%
e	354755	7.3%
t	351543	7.3%
d	316248	6.5%
L	313645	6.5%
i	276750	5.7%
r	158692	3.3%
u	156486	3.2%
Other values (20)	1140849	23.6%

Common

Value	Count	Frequency (%)
	773265	71.7%
,	264676	24.5%
-	40437	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5907163	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	773265	13.1%
o	624489	10.6%
a	588827	10.0%
n	546501	9.3%
e	354755	6.0%
t	351543	6.0%
d	316248	5.4%
L	313645	5.3%
i	276750	4.7%
,	264676	4.5%
Other values (23)	1496464	25.3%

Delay_from_due_date
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	73
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.069406

Minimum	-5
Maximum	67
Zeros	1195
Zeros (%)	1.2%
Negative	591
Negative (%)	0.6%
Memory size	1.5 MiB

Quantile statistics

Minimum	-5
5-th percentile	3
Q1	10
median	18
Q3	28
95-th percentile	54
Maximum	67
Range	72
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.860516
Coefficient of variation (CV)	0.7053125
Kurtosis	0.34803405
Mean	21.069406
Median Absolute Deviation (MAD)	9
Skewness	0.96630415
Sum	2106751
Variance	220.83493
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	3595	3.6%
13	3424	3.4%
8	3324	3.3%
14	3312	3.3%
10	3278	3.3%
7	3234	3.2%
9	3233	3.2%
11	3182	3.2%
12	3141	3.1%
6	3137	3.1%
Other values (63)	67131	67.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-5	33	< 0.1%
-4	62	0.1%
-3	118	0.1%
-2	168	0.2%
-1	210	0.2%
0	1195	1.2%
1	1326	1.3%
2	1342	1.3%
3	1686	1.7%
4	1721	1.7%

Value	Count	Frequency (%)
67	22	< 0.1%
66	32	< 0.1%
65	56	0.1%
64	64	0.1%
63	69	0.1%
62	545	0.5%
61	514	0.5%
60	533	0.5%
59	507	0.5%
58	553	0.6%

NumofDelayedPayment
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	711
Distinct (%)	0.8%
Missing	7002
Missing (%)	7.0%
Infinite	0
Infinite (%)	0.0%
Mean	30.9254

Minimum	-3
Maximum	4397
Zeros	1608
Zeros (%)	1.6%
Negative	644
Negative (%)	0.6%
Memory size	1.5 MiB

Quantile statistics

Minimum	-3
5-th percentile	2
Q1	9
median	14
Q3	18
95-th percentile	24
Maximum	4397
Range	4400
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	226.04272
Coefficient of variation (CV)	7.3092902
Kurtosis	217.16054
Mean	30.9254
Median Absolute Deviation (MAD)	5
Skewness	14.312437
Sum	2875722
Variance	51095.312
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
19	5481	5.5%
17	5411	5.4%
16	5312	5.3%
10	5308	5.3%
15	5237	5.2%
18	5216	5.2%
20	5089	5.1%
12	5059	5.1%
9	4981	5.0%
8	4873	4.9%
Other values (701)	41022	41.0%
(Missing)	7002	7.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-3	94	0.1%
-2	234	0.2%
-1	316	0.3%
0	1608	1.6%
1	1636	1.6%
2	1810	1.8%
3	1930	1.9%
4	1837	1.8%
5	2090	2.1%
6	2321	2.3%

Value	Count	Frequency (%)
4397	1	< 0.1%
4388	1	< 0.1%
4384	1	< 0.1%
4360	1	< 0.1%
4344	1	< 0.1%
4340	1	< 0.1%
4337	1	< 0.1%
4326	1	< 0.1%
4324	1	< 0.1%
4319	1	< 0.1%

ChangedCreditLimit
Real number (ℝ)

MISSING

Distinct	3634
Distinct (%)	3.7%
Missing	2091
Missing (%)	2.1%
Infinite	0
Infinite (%)	0.0%
Mean	10.388885

Minimum	-6.49
Maximum	36.97
Zeros	4
Zeros (%)	< 0.1%
Negative	1586
Negative (%)	1.6%
Memory size	1.5 MiB

Quantile statistics

Minimum	-6.49
5-th percentile	1.16
Q1	5.32
median	9.4
Q3	14.87
95-th percentile	23.6
Maximum	36.97
Range	43.46
Interquartile range (IQR)	9.55

Descriptive statistics

Standard deviation	6.7895288
Coefficient of variation (CV)	0.65353778
Kurtosis	0.10161209
Mean	10.388885
Median Absolute Deviation (MAD)	4.57
Skewness	0.63885457
Sum	1017071.8
Variance	46.097701
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.22	135	0.1%
11.5	127	0.1%
11.32	126	0.1%
7.35	121	0.1%
10.06	121	0.1%
7.69	116	0.1%
8.23	115	0.1%
11.49	113	0.1%
9.25	110	0.1%
7.33	110	0.1%
Other values (3624)	96706	96.7%
(Missing)	2091	2.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-6.49	1	< 0.1%
-6.48	1	< 0.1%
-6.45	1	< 0.1%
-6.44	2	< 0.1%
-6.43	2	< 0.1%
-6.39	1	< 0.1%
-6.37	1	< 0.1%
-6.35	2	< 0.1%
-6.33	1	< 0.1%
-6.32	2	< 0.1%

Value	Count	Frequency (%)
36.97	1	< 0.1%
36.49	1	< 0.1%
36.29	1	< 0.1%
36.09	1	< 0.1%
35.98	1	< 0.1%
35.89	1	< 0.1%
35.84	1	< 0.1%
35.83	1	< 0.1%
35.82	1	< 0.1%
35.69	1	< 0.1%

NumCreditInquiries
Real number (ℝ)

HIGH CORRELATION MISSING ZEROS

Distinct	1223
Distinct (%)	1.2%
Missing	1965
Missing (%)	2.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.756187

Minimum	0
Maximum	2597
Zeros	6972
Zeros (%)	7.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	6
Q3	9
95-th percentile	13
Maximum	2597
Range	2597
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	193.1861
Coefficient of variation (CV)	6.9601094
Kurtosis	100.58758
Mean	27.756187
Median Absolute Deviation (MAD)	3
Skewness	9.7857829
Sum	2720828
Variance	37320.869
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	11270	11.3%
3	8888	8.9%
6	8111	8.1%
7	8056	8.1%
2	8028	8.0%
8	7865	7.9%
1	7588	7.6%
0	6972	7.0%
5	5693	5.7%
9	5281	5.3%
Other values (1213)	20274	20.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6972	7.0%
1	7588	7.6%
2	8028	8.0%
3	8888	8.9%
4	11270	11.3%
5	5693	5.7%
6	8111	8.1%
7	8056	8.1%
8	7865	7.9%
9	5281	5.3%

Value	Count	Frequency (%)
2597	1	< 0.1%
2594	1	< 0.1%
2592	2	< 0.1%
2589	2	< 0.1%
2588	1	< 0.1%
2587	1	< 0.1%
2586	1	< 0.1%
2583	1	< 0.1%
2580	1	< 0.1%
2573	1	< 0.1%

CreditMix
Categorical

HIGH CORRELATION MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	20193
Missing (%)	20.2%
Memory size	6.1 MiB

Standard	36476
Good	24334
Bad	18988

Length

Max length	8
Median length	4
Mean length	5.5904659
Min length	3

Characters and Unicode

Total characters	446108
Distinct characters	9
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Good
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Standard	36476	36.5%
Good	24334	24.3%
Bad	18988	19.0%
(Missing)	20193	20.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
standard	36476	45.7%
good	24334	30.5%
bad	18988	23.8%

Most occurring characters

Value	Count	Frequency (%)
d	116274	26.1%
a	91940	20.6%
o	48668	10.9%
S	36476	8.2%
t	36476	8.2%
n	36476	8.2%
r	36476	8.2%
G	24334	5.5%
B	18988	4.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	366310	82.1%
Uppercase Letter	79798	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
d	116274	31.7%
a	91940	25.1%
o	48668	13.3%
t	36476	10.0%
n	36476	10.0%
r	36476	10.0%

Uppercase Letter

Value	Count	Frequency (%)
S	36476	45.7%
G	24334	30.5%
B	18988	23.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	446108	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
d	116274	26.1%
a	91940	20.6%
o	48668	10.9%
S	36476	8.2%
t	36476	8.2%
n	36476	8.2%
r	36476	8.2%
G	24334	5.5%
B	18988	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	446108	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
d	116274	26.1%
a	91940	20.6%
o	48668	10.9%
S	36476	8.2%
t	36476	8.2%
n	36476	8.2%
r	36476	8.2%
G	24334	5.5%
B	18988	4.3%

OutstandingDebt
Real number (ℝ)

HIGH CORRELATION

Distinct	12203
Distinct (%)	12.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1426.2354

Minimum	0.23
Maximum	4998.07
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0.23
5-th percentile	118.58
Q1	566.05
median	1166.23
Q3	1946.245
95-th percentile	4074.215
Maximum	4998.07
Range	4997.84
Interquartile range (IQR)	1380.195

Descriptive statistics

Standard deviation	1155.1399
Coefficient of variation (CV)	0.80992239
Kurtosis	0.90496883
Mean	1426.2354
Median Absolute Deviation (MAD)	641.7
Skewness	1.2075183
Sum	1.426107 × 10⁸
Variance	1334348.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1360.45	24	< 0.1%
460.46	24	< 0.1%
1151.7	24	< 0.1%
1109.03	24	< 0.1%
1448.3	16	< 0.1%
82.6	16	< 0.1%
1259.92	16	< 0.1%
1854.48	16	< 0.1%
1266.31	16	< 0.1%
1194.38	16	< 0.1%
Other values (12193)	99799	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.23	8	< 0.1%
0.34	8	< 0.1%
0.54	8	< 0.1%
0.56	8	< 0.1%
0.77	8	< 0.1%
0.95	16	< 0.1%
1.2	8	< 0.1%
1.23	8	< 0.1%
1.3	8	< 0.1%
1.33	8	< 0.1%

Value	Count	Frequency (%)
4998.07	8	< 0.1%
4997.1	8	< 0.1%
4997.05	8	< 0.1%
4992.25	8	< 0.1%
4990.91	8	< 0.1%
4987.19	8	< 0.1%
4986.03	8	< 0.1%
4984.82	8	< 0.1%
4983.86	8	< 0.1%
4982.57	8	< 0.1%

CreditUtilizationRatio
Real number (ℝ)

Distinct	99989
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.284965

Minimum	20
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	20
5-th percentile	24.230737
Q1	28.052262
median	32.305614
Q3	36.496341
95-th percentile	40.220058
Maximum	50
Range	30
Interquartile range (IQR)	8.4440783

Descriptive statistics

Standard deviation	5.1168862
Coefficient of variation (CV)	0.1584913
Kurtosis	-0.94399138
Mean	32.284965
Median Absolute Deviation (MAD)	4.2215029
Skewness	0.02865359
Sum	3228206
Variance	26.182524
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
33.16302264	2	< 0.1%
26.40790927	2	< 0.1%
27.62620155	1	< 0.1%
25.47884058	1	< 0.1%
33.93375464	1	< 0.1%
30.38103661	1	< 0.1%
34.87879316	1	< 0.1%
36.52614261	1	< 0.1%
33.10942	1	< 0.1%
37.08962388	1	< 0.1%
Other values (99979)	99979	> 99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	1	< 0.1%
20.10076996	1	< 0.1%
20.1729419	1	< 0.1%
20.24413035	1	< 0.1%
20.25707336	1	< 0.1%
20.71974515	1	< 0.1%
20.8309456	1	< 0.1%
20.83248709	1	< 0.1%
20.88008193	1	< 0.1%
20.88125004	1	< 0.1%

Value	Count	Frequency (%)
50	1	< 0.1%
49.56451935	1	< 0.1%
49.5223243	1	< 0.1%
49.25498298	1	< 0.1%
49.06427745	1	< 0.1%
48.48985173	1	< 0.1%
48.33729091	1	< 0.1%
48.24700252	1	< 0.1%
48.19982398	1	< 0.1%
48.1917489	1	< 0.1%

Credit_History_Age
Text

MISSING

Distinct	404
Distinct (%)	0.4%
Missing	9029
Missing (%)	9.0%
Memory size	7.8 MiB

Length

Max length	22
Median length	21
Mean length	20.986709
Min length	20

Characters and Unicode

Total characters	1908993
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	22 Years and 1 Months
2nd row	22 Years and 3 Months
3rd row	22 Years and 4 Months
4th row	22 Years and 5 Months
5th row	22 Years and 6 Months

Value	Count	Frequency (%)
years	90962	20.0%
and	90962	20.0%
months	90962	20.0%
11	10747	2.4%
8	10714	2.4%
9	10685	2.3%
10	10643	2.3%
5	10004	2.2%
6	9882	2.2%
7	9312	2.0%
Other values (27)	109937	24.2%

Most occurring characters

Value	Count	Frequency (%)
	363848	19.1%
a	181924	9.5%
s	181924	9.5%
n	181924	9.5%
o	90962	4.8%
t	90962	4.8%
Y	90962	4.8%
e	90962	4.8%
r	90962	4.8%
d	90962	4.8%
Other values (12)	453601	23.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1091544	57.2%
Space Separator	363848	19.1%
Decimal Number	271677	14.2%
Uppercase Letter	181924	9.5%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	76351	28.1%
2	44996	16.6%
3	25460	9.4%
0	24359	9.0%
9	18280	6.7%
8	18228	6.7%
6	17135	6.3%
7	16652	6.1%
5	16380	6.0%
4	13836	5.1%

Lowercase Letter

Value	Count	Frequency (%)
a	181924	16.7%
s	181924	16.7%
n	181924	16.7%
o	90962	8.3%
t	90962	8.3%
e	90962	8.3%
r	90962	8.3%
d	90962	8.3%
h	90962	8.3%

Uppercase Letter

Value	Count	Frequency (%)
Y	90962	50.0%
M	90962	50.0%

Space Separator

Value	Count	Frequency (%)
	363848	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1273468	66.7%
Common	635525	33.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	363848	57.3%
1	76351	12.0%
2	44996	7.1%
3	25460	4.0%
0	24359	3.8%
9	18280	2.9%
8	18228	2.9%
6	17135	2.7%
7	16652	2.6%
5	16380	2.6%

Latin

Value	Count	Frequency (%)
a	181924	14.3%
s	181924	14.3%
n	181924	14.3%
o	90962	7.1%
t	90962	7.1%
Y	90962	7.1%
e	90962	7.1%
r	90962	7.1%
d	90962	7.1%
M	90962	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1908993	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	363848	19.1%
a	181924	9.5%
s	181924	9.5%
n	181924	9.5%
o	90962	4.8%
t	90962	4.8%
Y	90962	4.8%
e	90962	4.8%
r	90962	4.8%
d	90962	4.8%
Other values (12)	453601	23.8%

Payment_of_Min_Amount
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.4 MiB

Yes	52323
No	35663
NM	12005

Length

Max length	3
Median length	3
Mean length	2.5232771
Min length	2

Characters and Unicode

Total characters	252305
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No
2nd row	No
3rd row	No
4th row	No
5th row	No

Common Values

Value	Count	Frequency (%)
Yes	52323	52.3%
No	35663	35.7%
NM	12005	12.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	52323	52.3%
no	35663	35.7%
nm	12005	12.0%

Most occurring characters

Value	Count	Frequency (%)
Y	52323	20.7%
e	52323	20.7%
s	52323	20.7%
N	47668	18.9%
o	35663	14.1%
M	12005	4.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	140309	55.6%
Uppercase Letter	111996	44.4%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
Y	52323	46.7%
N	47668	42.6%
M	12005	10.7%

Lowercase Letter

Value	Count	Frequency (%)
e	52323	37.3%
s	52323	37.3%
o	35663	25.4%

Most occurring scripts

Value	Count	Frequency (%)
Latin	252305	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
Y	52323	20.7%
e	52323	20.7%
s	52323	20.7%
N	47668	18.9%
o	35663	14.1%
M	12005	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	252305	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
Y	52323	20.7%
e	52323	20.7%
s	52323	20.7%
N	47668	18.9%
o	35663	14.1%
M	12005	4.8%

TotalEMIpermonth
Real number (ℝ)

ZEROS

Distinct	14949
Distinct (%)	15.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1403.0978

Minimum	0
Maximum	82331
Zeros	10613
Zeros (%)	10.6%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	30.30666
median	69.252263
Q3	161.22425
95-th percentile	437.01275
Maximum	82331
Range	82331
Interquartile range (IQR)	130.91759

Descriptive statistics

Standard deviation	8306.3145
Coefficient of variation (CV)	5.9199825
Kurtosis	52.218035
Mean	1403.0978
Median Absolute Deviation (MAD)	49.923291
Skewness	7.1024374
Sum	1.4029715 × 10⁸
Variance	68994860
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	10613	10.6%
49.57494921	8	< 0.1%
66.78293289	8	< 0.1%
112.393902	8	< 0.1%
39.17656388	8	< 0.1%
22.96083536	8	< 0.1%
38.66112651	8	< 0.1%
188.2716836	8	< 0.1%
41.90237944	8	< 0.1%
60.81724743	8	< 0.1%
Other values (14939)	89306	89.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	10613	10.6%
4.462837467	8	< 0.1%
4.713183572	8	< 0.1%
4.865689677	8	< 0.1%
4.916138542	8	< 0.1%
5.138484696	8	< 0.1%
5.218466359	8	< 0.1%
5.24927327	7	< 0.1%
5.262291048	8	< 0.1%
5.351086151	7	< 0.1%

Value	Count	Frequency (%)
82331	1	< 0.1%
82256	1	< 0.1%
82236	1	< 0.1%
82204	1	< 0.1%
82193	1	< 0.1%
82178	1	< 0.1%
82163	1	< 0.1%
82122	1	< 0.1%
82115	1	< 0.1%
82103	1	< 0.1%

Amountinvestedmonthly
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	91041
Distinct (%)	95.3%
Missing	4478
Missing (%)	4.5%
Infinite	0
Infinite (%)	0.0%
Mean	637.44579

Minimum	0
Maximum	10000
Zeros	169
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0
5-th percentile	31.892809
Q1	74.532858
median	135.92153
Q3	265.73173
95-th percentile	1149.5436
Maximum	10000
Range	10000
Interquartile range (IQR)	191.19888

Descriptive statistics

Standard deviation	2043.4013
Coefficient of variation (CV)	3.205608
Kurtosis	16.869362
Mean	637.44579
Median Absolute Deviation (MAD)	75.534776
Skewness	4.3222789
Sum	60884360
Variance	4175489
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	4305	4.3%
0	169	0.2%
36.66235139	1	< 0.1%
89.73848936	1	< 0.1%
59.9372585	1	< 0.1%
165.1806595	1	< 0.1%
62.0308026	1	< 0.1%
215.5770592	1	< 0.1%
44.61135853	1	< 0.1%
195.5938317	1	< 0.1%
Other values (91031)	91031	91.0%
(Missing)	4478	4.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	169	0.2%
10.01019426	1	< 0.1%
10.0114248	1	< 0.1%
10.03659961	1	< 0.1%
10.05376835	1	< 0.1%
10.06823459	1	< 0.1%
10.07193677	1	< 0.1%
10.1075469	1	< 0.1%
10.11661404	1	< 0.1%
10.1225566	1	< 0.1%

Value	Count	Frequency (%)
10000	4305	4.3%
1977.326102	1	< 0.1%
1961.21885	1	< 0.1%
1944.520747	1	< 0.1%
1941.237454	1	< 0.1%
1903.080048	1	< 0.1%
1901.791695	1	< 0.1%
1890.855773	1	< 0.1%
1887.535211	1	< 0.1%
1885.645318	1	< 0.1%

Payment_Behaviour
Categorical

MISSING

Distinct	6
Distinct (%)	< 0.1%
Missing	7600
Missing (%)	7.6%
Memory size	8.7 MiB

Low_spent_Small_value_payments	25509
High_spent_Medium_value_payments	17540
Low_spent_Medium_value_payments	13859
High_spent_Large_value_payments	13720
High_spent_Small_value_payments	11339

Length

Max length	32
Median length	31
Mean length	30.800922
Min length	30

Characters and Unicode

Total characters	2845728
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High_spent_Small_value_payments
2nd row	Low_spent_Large_value_payments
3rd row	Low_spent_Medium_value_payments
4th row	Low_spent_Small_value_payments
5th row	High_spent_Medium_value_payments

Common Values

Value	Count	Frequency (%)
Low_spent_Small_value_payments	25509	25.5%
High_spent_Medium_value_payments	17540	17.5%
Low_spent_Medium_value_payments	13859	13.9%
High_spent_Large_value_payments	13720	13.7%
High_spent_Small_value_payments	11339	11.3%
Low_spent_Large_value_payments	10424	10.4%
(Missing)	7600	7.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
low_spent_small_value_payments	25509	27.6%
high_spent_medium_value_payments	17540	19.0%
low_spent_medium_value_payments	13859	15.0%
high_spent_large_value_payments	13720	14.8%
high_spent_small_value_payments	11339	12.3%
low_spent_large_value_payments	10424	11.3%

Most occurring characters

Value	Count	Frequency (%)
_	369564	13.0%
e	332716	11.7%
a	245774	8.6%
s	184782	6.5%
p	184782	6.5%
n	184782	6.5%
t	184782	6.5%
l	166087	5.8%
m	160638	5.6%
u	123790	4.4%
Other values (13)	708031	24.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2291382	80.5%
Connector Punctuation	369564	13.0%
Uppercase Letter	184782	6.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	332716	14.5%
a	245774	10.7%
s	184782	8.1%
p	184782	8.1%
n	184782	8.1%
t	184782	8.1%
l	166087	7.2%
m	160638	7.0%
u	123790	5.4%
v	92391	4.0%
Other values (8)	430858	18.8%

Uppercase Letter

Value	Count	Frequency (%)
L	73936	40.0%
H	42599	23.1%
S	36848	19.9%
M	31399	17.0%

Connector Punctuation

Value	Count	Frequency (%)
_	369564	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2476164	87.0%
Common	369564	13.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	332716	13.4%
a	245774	9.9%
s	184782	7.5%
p	184782	7.5%
n	184782	7.5%
t	184782	7.5%
l	166087	6.7%
m	160638	6.5%
u	123790	5.0%
v	92391	3.7%
Other values (12)	615640	24.9%

Common

Value	Count	Frequency (%)
_	369564	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2845728	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
_	369564	13.0%
e	332716	11.7%
a	245774	8.6%
s	184782	6.5%
p	184782	6.5%
n	184782	6.5%
t	184782	6.5%
l	166087	5.8%
m	160638	5.6%
u	123790	4.4%
Other values (13)	708031	24.9%

MonthlyBalance
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	98789
Distinct (%)	> 99.9%
Missing	1200
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	402.55126

Minimum	0.007759665
Maximum	1602.0405
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.5 MiB

Quantile statistics

Minimum	0.007759665
5-th percentile	174.74024
Q1	270.10663
median	336.73122
Q3	470.26294
95-th percentile	862.59906
Maximum	1602.0405
Range	1602.0328
Interquartile range (IQR)	200.15631

Descriptive statistics

Standard deviation	213.9255
Coefficient of variation (CV)	0.53142425
Kurtosis	2.955223
Mean	402.55126
Median Absolute Deviation (MAD)	84.552253
Skewness	1.5965364
Sum	39768441
Variance	45764.119
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
350.0148691	2	< 0.1%
695.0571561	2	< 0.1%
312.4940887	1	< 0.1%
347.41389	1	< 0.1%
254.9709216	1	< 0.1%
250.0931678	1	< 0.1%
289.7550753	1	< 0.1%
260.6258317	1	< 0.1%
606.8303891	1	< 0.1%
111.9905206	1	< 0.1%
Other values (98779)	98779	98.8%
(Missing)	1200	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.007759665	1	< 0.1%
0.088627865	1	< 0.1%
0.095482496	1	< 0.1%
0.131135651	1	< 0.1%
0.366147079	1	< 0.1%
0.382557979	1	< 0.1%
0.419123611	1	< 0.1%
0.453456491	1	< 0.1%
0.503582353	1	< 0.1%
0.599640126	1	< 0.1%

Value	Count	Frequency (%)
1602.040519	1	< 0.1%
1576.288935	1	< 0.1%
1567.208309	1	< 0.1%
1566.613165	1	< 0.1%
1564.134826	1	< 0.1%
1558.421841	1	< 0.1%
1555.201051	1	< 0.1%
1552.946094	1	< 0.1%
1546.31964	1	< 0.1%
1542.274695	1	< 0.1%

Credit_Score
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.6 MiB

Good	70994
Poor	28997

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	399964
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Good
2nd row	Good
3rd row	Good
4th row	Good
5th row	Good

Common Values

Value	Count	Frequency (%)
Good	70994	71.0%
Poor	28997	29.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
good	70994	71.0%
poor	28997	29.0%

Most occurring characters

Value	Count	Frequency (%)
o	199982	50.0%
G	70994	17.8%
d	70994	17.8%
P	28997	7.2%
r	28997	7.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	299973	75.0%
Uppercase Letter	99991	25.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	199982	66.7%
d	70994	23.7%
r	28997	9.7%

Uppercase Letter

Value	Count	Frequency (%)
G	70994	71.0%
P	28997	29.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	399964	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	199982	50.0%
G	70994	17.8%
d	70994	17.8%
P	28997	7.2%
r	28997	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	399964	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	199982	50.0%
G	70994	17.8%
d	70994	17.8%
P	28997	7.2%
r	28997	7.2%

Auto

Heatmap
Table

	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	NumofLoan	Delay_from_due_date	NumofDelayedPayment	ChangedCreditLimit	NumCreditInquiries	OutstandingDebt	CreditUtilizationRatio	TotalEMIpermonth	Amountinvestedmonthly	MonthlyBalance	Month	Occupation	CreditMix	Payment_of_Min_Amount	Payment_Behaviour	Credit_Score
Annual_Income	1.000	0.975	-0.261	-0.192	-0.278	-0.225	-0.239	-0.254	-0.154	-0.264	-0.271	0.137	0.451	0.574	0.584	0.000	0.000	0.000	0.003	0.000	0.010
Monthly_Inhand_Salary	0.975	1.000	-0.262	-0.195	-0.282	-0.226	-0.242	-0.257	-0.157	-0.267	-0.276	0.138	0.455	0.590	0.599	0.000	0.026	0.292	0.229	0.193	0.207
Num_Bank_Accounts	-0.261	-0.262	1.000	0.399	0.554	0.408	0.557	0.565	0.289	0.492	0.486	-0.064	0.112	-0.162	-0.302	0.005	0.000	0.000	0.000	0.000	0.008
Num_Credit_Card	-0.192	-0.195	0.399	1.000	0.427	0.335	0.423	0.379	0.194	0.398	0.438	-0.047	0.104	-0.120	-0.235	0.003	0.004	0.000	0.000	0.006	0.002
Interest_Rate	-0.278	-0.282	0.554	0.427	1.000	0.467	0.549	0.546	0.329	0.581	0.587	-0.068	0.146	-0.176	-0.333	0.006	0.001	0.005	0.004	0.000	0.002
NumofLoan	-0.225	-0.226	0.408	0.335	0.467	1.000	0.416	0.414	0.286	0.493	0.511	-0.085	0.497	-0.142	-0.440	0.005	0.000	0.000	0.000	0.000	0.007
Delay_from_due_date	-0.239	-0.242	0.557	0.423	0.549	0.416	1.000	0.546	0.270	0.502	0.519	-0.060	0.138	-0.150	-0.294	0.000	0.027	0.581	0.358	0.043	0.384
NumofDelayedPayment	-0.254	-0.257	0.565	0.379	0.546	0.414	0.546	1.000	0.283	0.480	0.476	-0.065	0.126	-0.161	-0.304	0.004	0.003	0.003	0.000	0.007	0.000
ChangedCreditLimit	-0.154	-0.157	0.289	0.194	0.329	0.286	0.270	0.283	1.000	0.355	0.316	-0.042	0.104	-0.100	-0.193	0.000	0.022	0.441	0.347	0.027	0.075
NumCreditInquiries	-0.264	-0.267	0.492	0.398	0.581	0.493	0.502	0.480	0.355	1.000	0.578	-0.069	0.178	-0.162	-0.334	0.001	0.000	0.003	0.005	0.000	0.005
OutstandingDebt	-0.271	-0.276	0.486	0.438	0.587	0.511	0.519	0.476	0.316	0.578	1.000	-0.066	0.169	-0.168	-0.348	0.000	0.031	0.589	0.379	0.055	0.505
CreditUtilizationRatio	0.137	0.138	-0.064	-0.047	-0.068	-0.085	-0.060	-0.065	-0.042	-0.069	-0.066	1.000	0.008	0.019	0.193	0.000	0.002	0.091	0.075	0.086	0.052
TotalEMIpermonth	0.451	0.455	0.112	0.104	0.146	0.497	0.138	0.126	0.104	0.178	0.169	0.008	1.000	0.270	0.013	0.004	0.000	0.006	0.001	0.004	0.002
Amountinvestedmonthly	0.574	0.590	-0.162	-0.120	-0.176	-0.142	-0.150	-0.161	-0.100	-0.162	-0.168	0.019	0.270	1.000	-0.020	0.000	0.000	0.068	0.056	0.071	0.048
MonthlyBalance	0.584	0.599	-0.302	-0.235	-0.333	-0.440	-0.294	-0.304	-0.193	-0.334	-0.348	0.193	0.013	-0.020	1.000	0.000	0.012	0.293	0.232	0.277	0.196
Month	0.000	0.000	0.005	0.003	0.006	0.005	0.000	0.004	0.000	0.001	0.000	0.000	0.004	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.008
Occupation	0.000	0.026	0.000	0.004	0.001	0.000	0.027	0.003	0.022	0.000	0.031	0.002	0.000	0.000	0.012	0.000	1.000	0.032	0.017	0.004	0.028
CreditMix	0.000	0.292	0.000	0.000	0.005	0.000	0.581	0.003	0.441	0.003	0.589	0.091	0.006	0.068	0.293	0.000	0.032	1.000	0.544	0.086	0.387
Payment_of_Min_Amount	0.003	0.229	0.000	0.000	0.004	0.000	0.358	0.000	0.347	0.005	0.379	0.075	0.001	0.056	0.232	0.000	0.017	0.544	1.000	0.072	0.266
Payment_Behaviour	0.000	0.193	0.000	0.006	0.000	0.000	0.043	0.007	0.027	0.000	0.055	0.086	0.004	0.071	0.277	0.000	0.004	0.086	0.072	1.000	0.107
Credit_Score	0.010	0.207	0.008	0.002	0.002	0.007	0.384	0.000	0.075	0.005	0.505	0.052	0.002	0.048	0.196	0.008	0.028	0.387	0.266	0.107	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	ID	Customer_ID	Month	Name	Age	SSN	Occupation	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	NumofLoan	Type_of_Loan	Delay_from_due_date	NumofDelayedPayment	ChangedCreditLimit	NumCreditInquiries	CreditMix	OutstandingDebt	CreditUtilizationRatio	Credit_History_Age	Payment_of_Min_Amount	TotalEMIpermonth	Amountinvestedmonthly	Payment_Behaviour	MonthlyBalance	Credit_Score
0	0x1602	CUS_0xd40	January	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	7.0	11.27	4.0	NaN	809.98	26.822620	22 Years and 1 Months	No	49.574949	80.415295	High_spent_Small_value_payments	312.494089	Good
1	0x1603	CUS_0xd40	February	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	NaN	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	-1	NaN	11.27	4.0	Good	809.98	31.944960	NaN	No	49.574949	118.280222	Low_spent_Large_value_payments	284.629163	Good
2	0x1604	CUS_0xd40	March	Aaron Maashoh	-500	821-00-0265	Scientist	19114.12	NaN	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	7.0	NaN	4.0	Good	809.98	28.609352	22 Years and 3 Months	No	49.574949	81.699521	Low_spent_Medium_value_payments	331.209863	Good
3	0x1605	CUS_0xd40	April	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	NaN	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	5	4.0	6.27	4.0	Good	809.98	31.377862	22 Years and 4 Months	No	49.574949	199.458074	Low_spent_Small_value_payments	223.451310	Good
4	0x1606	CUS_0xd40	May	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	6	NaN	11.27	4.0	Good	809.98	24.797347	22 Years and 5 Months	No	49.574949	41.420153	High_spent_Medium_value_payments	341.489231	Good
5	0x1607	CUS_0xd40	June	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	NaN	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	8	4.0	9.27	4.0	Good	809.98	27.262259	22 Years and 6 Months	No	49.574949	62.430172	NaN	340.479212	Good
6	0x1608	CUS_0xd40	July	Aaron Maashoh	23	821-00-0265	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	8.0	11.27	4.0	Good	809.98	22.537593	22 Years and 7 Months	No	49.574949	178.344067	Low_spent_Small_value_payments	244.565317	Good
7	0x1609	CUS_0xd40	August	NaN	23	NaN	Scientist	19114.12	1824.843333	3	4	3	4	Auto Loan, Credit-Builder Loan, Personal Loan, and Home Equity Loan	3	6.0	11.27	4.0	Good	809.98	23.933795	NaN	No	49.574949	24.785217	High_spent_Medium_value_payments	358.124168	Good
8	0x160e	CUS_0x21b1	January	Rick Rothackerj	28	004-07-5839	NaN	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	3	4.0	5.42	2.0	Good	605.03	24.464031	26 Years and 7 Months	No	18.816215	104.291825	Low_spent_Small_value_payments	470.690627	Good
9	0x160f	CUS_0x21b1	February	Rick Rothackerj	28	004-07-5839	Teacher	34847.84	3037.986667	2	4	6	1	Credit-Builder Loan	7	1.0	7.42	2.0	Good	605.03	38.550848	26 Years and 8 Months	No	18.816215	40.391238	High_spent_Large_value_payments	484.591214	Good

	ID	Customer_ID	Month	Name	Age	SSN	Occupation	Annual_Income	Monthly_Inhand_Salary	Num_Bank_Accounts	Num_Credit_Card	Interest_Rate	NumofLoan	Type_of_Loan	Delay_from_due_date	NumofDelayedPayment	ChangedCreditLimit	NumCreditInquiries	CreditMix	OutstandingDebt	CreditUtilizationRatio	Credit_History_Age	Payment_of_Min_Amount	TotalEMIpermonth	Amountinvestedmonthly	Payment_Behaviour	MonthlyBalance	Credit_Score
99990	0x25fe0	CUS_0x8600	July	Sarah McBridec	28	031-35-0942	Architect	20002.88	1929.906667	10	8	29	5	Personal Loan, Auto Loan, Mortgage Loan, Student Loan, and Student Loan	33	26.0	18.31	9.0	Bad	3571.70	25.123535	NaN	Yes	60.964772	173.275503	Low_spent_Large_value_payments	228.750392	Good
99991	0x25fe1	CUS_0x8600	August	Sarah McBridec	29	031-35-0942	Architect	20002.88	1929.906667	10	8	29	5	Personal Loan, Auto Loan, Mortgage Loan, Student Loan, and Student Loan	33	25.0	18.31	9.0	Bad	3571.70	37.140784	6 Years and 3 Months	Yes	60.964772	34.662906	High_spent_Large_value_payments	337.362988	Good
99992	0x25fe6	CUS_0x942c	January	Nicks	24	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	23	NaN	9.50	3.0	NaN	502.38	32.991333	31 Years and 3 Months	No	35.104023	401.196481	Low_spent_Small_value_payments	189.641080	Poor
99993	0x25fe7	CUS_0x942c	February	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	23	NaN	11.50	3.0	Good	502.38	29.135447	31 Years and 4 Months	No	58638.000000	180.733095	Low_spent_Medium_value_payments	400.104466	Good
99994	0x25fe8	CUS_0x942c	March	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	20	6.0	9.50	3.0	NaN	502.38	39.323569	31 Years and 5 Months	No	35.104023	140.581403	High_spent_Medium_value_payments	410.256158	Poor
99995	0x25fe9	CUS_0x942c	April	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	23	7.0	11.50	3.0	NaN	502.38	34.663572	31 Years and 6 Months	No	35.104023	60.971333	High_spent_Large_value_payments	479.866228	Poor
99996	0x25fea	CUS_0x942c	May	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	18	7.0	11.50	3.0	NaN	502.38	40.565631	31 Years and 7 Months	No	35.104023	54.185950	High_spent_Medium_value_payments	496.651610	Poor
99997	0x25feb	CUS_0x942c	June	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	5729	2	Auto Loan, and Student Loan	27	6.0	11.50	3.0	Good	502.38	41.255522	31 Years and 8 Months	No	35.104023	24.028477	High_spent_Large_value_payments	516.809083	Poor
99998	0x25fec	CUS_0x942c	July	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	20	NaN	11.50	3.0	Good	502.38	33.638208	31 Years and 9 Months	No	35.104023	251.672582	Low_spent_Large_value_payments	319.164979	Good
99999	0x25fed	CUS_0x942c	August	Nicks	25	078-73-5990	Mechanic	39628.99	3359.415833	4	6	7	2	Auto Loan, and Student Loan	18	6.0	11.50	3.0	Good	502.38	34.192463	31 Years and 10 Months	No	35.104023	167.163865	NaN	393.673696	Poor

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII